Probabilistic networks are constructed to support reasoning and decision making under uncertainty. A common solution to a reasoning problem is the posterior probability distribution over a hypothesis variable given a set of evidence. Similarly, the solution to a decision making problem is an optimal decision given a set of evidence. When faced with a reasoning or decision making problem, we may have the option to consult additional information sources for further information that may improve the solution. Value of information analysis is a tool for analyzing the potential usefulness of additional information before the information source is consulted.
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© 2008 Springer Science+Business Media, LLC
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(2008). Value of Information Analysis. In: Bayesian Networks and Influence Diagrams. Information Science and Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-74101-7_11
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DOI: https://doi.org/10.1007/978-0-387-74101-7_11
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-74100-0
Online ISBN: 978-0-387-74101-7
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